云聪金融交易分析

About 云聪金融交易分析

云聪金融交易分析 (@yuncongtrade) operates a YouTube channel based in the United States, focusing on the finance category. The channel has published 2,628 videos, accumulating a total of 14,763,479 views. With 131,000 subscribers, 云聪金融交易分析 is classified within the mid-tier audience segment. The channel's content, as described in its bio, centers on the challenges of financial trading, including the search for effective methods, the difficulties of execution, and the psychological aspects of trading. It aims to support individuals interested in trading by fostering a community focused on mastering technical analysis, refining trading philosophies, and achieving financial independence. The content appears to address common struggles faced by traders, suggesting a focus on both practical techniques and mental discipline within the financial markets.

云聪金融交易分析's estimated sponsorship rates

The estimated rate for an integrated video on the 云聪金融交易分析 YouTube channel ranges from $1,096 to $1,827, with a typical rate of $1,340. This pricing is influenced by several factors, including the channel's audience size, its primary niche in finance, and the specific format of the integration. The finance category generally commands a higher CPM band, estimated between $45 and $75, with an anchor CPM of $55. This higher CPM reflects advertiser demand for audiences interested in financial products and services. The rate calculation utilizes a views basis of 24,366, derived from a subscriber fallback method due to the absence of recent average view data, which contributes to a low confidence score for the current view estimate. The channel's mid-tier audience classification also plays a role in its rate structure, positioning it competitively within its segment for brands targeting financially-aware viewers. For a detailed breakdown of the algorithmic pricing model, refer to the /methodology page.

Who should partner with 云聪金融交易分析?

云聪金融交易分析 cultivates an audience primarily interested in financial trading and related topics, as indicated by its finance category focus. The channel's content addresses individuals navigating the complexities of financial markets, including those seeking technical analysis skills, psychological resilience in trading, and strategies for achieving financial independence. This demographic is typically engaged with content related to investment strategies, market analysis, personal finance management, and trading education. Brands in categories such as fintech apps, online brokerages, investment platforms, personal-finance education services, and trading software would find this audience particularly relevant. The channel's 131,000 subscribers place it alongside peers like 나스닥몬스터 (@나스닥몬스터) and 헨리의 퀀트대학 (@quant_univ), both of whom also have 131,000 subscribers and operate within the same finance niche. This suggests a consistent audience size and interest profile across these creators, indicating a shared appeal to a specific segment of the finance community.

云聪金融交易分析's growth and performance

InfluencerUnion began tracking 云聪金融交易分析 on 2026-05-31, at which point the channel had 131,000 subscribers. The latest snapshot, also taken on 2026-05-31, shows the subscriber count remaining at 131,000. This provides a snapshot span of one day, with a delta of zero subscribers during this initial tracking period. We do not yet have historical data for average views over the last 30 days. Further growth trends will be established as more historical data points become available over time. The current data reflects only the initial observation of the channel's subscriber base.

How our pricing estimate works for 云聪金融交易分析

The estimated pricing for 云聪金融交易分析 is generated through an algorithmic model that considers several quantitative factors. This estimate is derived by multiplying the channel's subscriber count by an estimated niche CPM (Cost Per Mille, or cost per thousand views), and then applying platform and format-specific multipliers. The finance niche, in which 云聪金融交易分析 operates, typically commands a higher CPM due to the specialized interest and purchasing power of its audience. The current view count used for the estimate, 24,366, is based on a subscriber fallback method, which indicates a low confidence level for this specific view projection. This approach is used when detailed historical view data is not yet available. The resulting price range reflects the variability inherent in influencer marketing, accounting for different campaign scopes and deliverables. For a comprehensive explanation of the data points, calculations, and assumptions that inform our pricing estimates, please refer to the detailed methodology page at /methodology.